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• W2402603314 abstract "Driven by the technical demand of the offshore oil and gas industry in Atlantic Canada, a joint venture among several Atlantic Canadian universities, and local and national companies was established in order to advance wireless systems technology in the oil and gas industry, and to assess the feasibility of an intelligent control and asset management system built on a wireless sensor network. As part of this research project, our team at the University of New Brunswick (UNB) is developing an intelligent control and asset management system (ICAM system) to manage the massive information flow from offshore oil rigs. The objective of this PhD thesis is to design the ICAM system architecture, to analyze its multi-faceted requirements, and to verify and validate its performance and logical behavior in normal and abnormal process situations. The conceptual model of the ICAM system was defined along with its architecture, functional description and general logical behavior. A development plan to design such a complex system and the appropriate development tools were decided. The artificial intelligence (AI) requirements of the system were analyzed in terms of knowledge representation and processing, and the appropriate AI paradigm. The communication requirements were also analyzed after conducting a thorough review of middleware (i.e., communications) technologies. The structure, implementation and deployment of the system agents were defined based on the suggested system requirements.A simple prototype of the ICAM system was designed in terms of the middleware layer, the intelligent supervisory agent of the system, and the reactive agents of the system prototype. The verification and validation of the system were demonstrated, where several scenarios were applied to the system to analyze its performance in real time and its logical behavior. The oil production facility simulation model, upon which the system's verification and validation have been demonstrated, was developed. A system performance analysis was conducted to detect any computational bottlenecks. Although the system prototype design has limitations, simulation results have demonstrated an effective system logical behavior and performance in real time." @default.
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• W2402603314 date "2008-01-01" @default.
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• W2402603314 title "Intelligent control and asset management of oil and gas production facilities" @default.
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